323
Views
12
CrossRef citations to date
0
Altmetric
Original Articles

TOOL CONDITION MONITORING USING ACOUSTIC EMISSION, SURFACE ROUGHNESS AND GROWING CELL STRUCTURES NEURAL NETWORK

, &
Pages 653-676 | Published online: 04 Dec 2012

REFERENCES

  • Abu-Mahfouz , I. ( 2003 ) Drilling wear detection and classification using vibration signals and artificial neural network . International Journal of Machine Tools & Manufacture , 43 : 707 – 720 .
  • Antony , R. ( 1995 ) Principles of Data Fusion Automation , Artech House, Inc. , Norwood , MA .
  • Azuaje , F. ; Dubitzky , W. ; Black , N. ; Adamson , K. ( 2000 ) Discovering relevance knowledge in data: A growing cell structures approach . IEEE Trans. on Systems, Man & Cybernetics – Part B: Cybernetics , 30 ( 3 ): 448 – 460 .
  • Baughman , D.R. ; Liu , Y.A. ( 1996 ) Neural networks in Bioprocessing and Chemical Engineering, Academic Press, San Diego, CA.
  • Cho , D.W. ; Lee , S.J. ; Chu , C. ( 1999 ) The state of machining process monitoring research in Korea . International Journal of Machine Tools & Manufacture , 39 : 1697 – 1715 .
  • Cook . ( 1979 ) Tool Wear Sensors, Proc. of Symposium on Cutting tools and Wear related Phenomena, Switzerland, Sept. 2–4.
  • Diei , E.N. ; Dornfeld , D.A. ( 1987 ) Acoustic emission sensing of tool wear in face milling . ASME Journal of Engineering for Industry , 109 : 234 – 240 .
  • Dimla , D.E. Sr. (1991) Artificial neural networks approach to tool condition monitoring in a metal turning operation. Proceedings of IEEE Conference on Emerging Technologies and Factory Automation, 1: 313–320.
  • Dimla , D.E. Sr. ( 2000 ) Sensor signals for tool-wear monitoring in metal cutting —A review of methods . International Journal of Machine Tools & Manufacture , 40 : 1073 – 1098 .
  • Dimla , D.E. , Sr. ; Lister , P.M. ( 2000 ) On-line metal cutting tool condition monitoring II: tool-state classification using multi-layer perceptron neural networks . International Journal of Machine Tools & Manufacture , 40 : 769 – 781 .
  • Dimla , D.E. , Jr. ; Lister , P.M. ; Leighton , N.J. ( 1997 ) Neural network solutions to the tool condition monitoring problem in metal cutting – A critical review of methods . International Journal of Machine Tools and Manufacture , 37 ( 9 ): 1219 – 1241 .
  • Elanayar , S.V.T. ; Shin , Y.C. ( 1990 ) Machining condition monitoring for automation using neural networks. ASME Winter Annual Meeting, Dallas, Texas, USA, 85–100.
  • Elanayar , S.V.T. Shin , Y.C. ( 1992 ) Robust tool wear estimation via radial basis function neural networks. ASME Winter Annual Meeting, Anaheim, CA, USA, 37–51.
  • Elanayar , S.V.T. ; Shin , Y.C. ( 1995 ) Robust tool wear estimation with radial basis function neural networks . ASME Journal of Dynamic Systems, Measurement and Control , 117 : 459 – 467 .
  • Erdley , J.D. ; Hall , D.L. ( 1998 ) Improved fault detection using multi-sensor data fusion. Proceedings of the 52nd Meeting of the Machinery Failure Prevention Technology Society, Virginia Beach, VA, 30th March-3rd April, 337–346. .
  • Fritzke , B. ( 1993 ) Growing cell structures – A self-organizing network for unsupervised and supervised learning. TR-93–026, International Computer Science Institute, California, May.
  • Fritzke , B. ( 1994 ) Growing cell structures–A self-organizing network for unsupervised and supervised learning . Neural Networks , 7 : 1441 – 1460 .
  • Hall , D.L. ( 1992 ) Mathematical Techniques in Multisensor Data Fusion , Artech House, Inc. , Norwood , MA .
  • Hall , D.L. ; Llinas , J. ( 1997 ) An introduction to multisensor data fusion . Proceedings of the IEEE , 85 ( 1 ): 6 – 23 .
  • Huang , H. ; Li , A. ; Lin , X. ( 2007 ) Application of PSO-based Wavelet Neural Network in Tool Wear Monitoring. Proceedings of the IEEE Int. Conf. on Automation and Logistics, Jinan, China, Aug 18–21: 2813–2817 .
  • ISO 3685 . ( 1993 ) Tool-life testing with single-point turning tools, www.iso.org .
  • Iwata , I. ; Moriwaki , T. ( 1977 ) An application of acoustic emission measurement to in-process sensing of tool wear . Annals of the CIRP , 25 ( 1 ): 21 – 26 .
  • Kannatey-Asibu , E. , Jr. ; Dornfeld , D.A. ( 1982 ) A study of tool wear using statistical analysis of metal cutting acoustic emission . Wear , 76 : 247 – 261 .
  • Kohonen , T. ( 1982a ) Analysis of a simple self-organizing process . Biol. Cybern , 44 : 135 – 140 .
  • Kohonen , T. ( 1982b ) Self-organized formation of topologically correct feature maps . Biol. Cybern , 43 : 59 – 69 .
  • Leem , C.S. ; Dornfeld , D.A. ; Dreyfus , S.E. ( 1995 ) A customized neural network for sensor fusion in on-line monitoring of cutting tool wear . ASME Journal of Engineering for Industry , 117 : 152 – 159 .
  • Li , X. ( 2002 ) A brief review: acoustic emission method for tool wear monitoring during turning . International Journal of Machine Tools & Manufacture , 42 : 157 – 165 .
  • Lin , J.T. ; Bhattacharya , D. ; Kecman , V. ( 2003 ) Multiple regression and neural networks analysis in composites machining . Journal of Composites Science and Technology , 63 : 539 – 548 .
  • Lister , P.M. ; Barrow , G. ( 1986 ) Tool condition monitoring systems, Proceedings of the 26th International Machine Tool Design and Research Conference, 271–288. .
  • Murthy , C.R.L. ( 1994 ) Course material on Acoustic Emission, conducted by ISNT-AEWG(I), Department of Aerospace Eng., IISc, Bangalore.
  • Nagabhushana , T.N. ( 1996 ) Fault Diagnosis of AC and AC-DC Systems Using Constructive Learning RBF Neural Networks , PhD Thesis, Indian Institute of Scienc , Bangalore , India .
  • Pai , S.P. ; Nagabhushana , T.N. ; Ramakrishna Rao , P.K. ( 2001 ) Tool wear estimation using resource allocation network . International Journal of Machine Tools & Manufacture , 41 : 673 – 685 .
  • Pai Srinivasa , P. ; Ramakrishna Rao , P.K. ( 2002 ) Acoustic emission analysis for tool wear monitoring in face milling . International Journal of Production Research , 40 ( 5 ): 1081 – 1093 .
  • Pai , S.P. ( 2004 ) Acoustic Emission Based Tool Wear Monitoring Using Some Improved Neural Network , PhD Thesis, University of Mysore , Mysore , India .
  • Platt , J. (1991) A resource allocating network for function interpolation. Neural Computation , 3: 213–225.
  • Prickett , P.W. ; Johns , C. ( 1999 ) An overview of approaches to end milling tool monitoring . International Journal of Machine Tools & Manufacture , 39 : 105 – 122 .
  • Quan , Y. ; Zhou , M. ; Lou , Z. ( 1998 ) On-line robust identification of tool-wear via multi-sensor neural-network fusion . Engineering Applications of Artificial Intelligence , 11 : 717 – 722 .
  • Ritter , H. ; Kohonen , T. ( 1989 ) Self-organizing Semantic Maps . Biological Cybernetics , 61 : 241 – 254 .
  • Sick , B. ( 2002 ) On-line and indirect tool wear monitoring in turning with artificial neural networks: A review of more than a decade of research . Journal of Mechanical Systems and Signal Processing , 16 ( 4 ): 487 – 546 .
  • Sick , B. ( 2005 ) On-line tool wear monitoring in turning using neural networks . Neural Computing and Applications , 7 ( 4 ): 356 – 366 .
  • Tansel , I.N. , Bao , W.Y. ; Arkan , T.T. ( 1999 ) Wear estimation in micro-end – milling with wavelet transformations and probabilistic neural networks. Proceedings of the Artificial Networks in Engineering Conference, 755–760.
  • Teti , R. ( 1995 ) A review of tool condition monitoring literature database . Annals of the CIRP , 44 ( 2 ): 659 – 666 .
  • Wang , J.H. ; Rau , J. ; Peng , C. ( 2000 ) Towards optimizing a self-creating neural network . IEEE Transactions on Systems, Man and Cybernetics – Part B: Cybernetics , 30 ( 4 ): 586 – 593 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.